Intuition Machines Employee Directory

Intuition Machines corporate office is located in 350 Alabama St Apt 10, San Francisco, California, 94110, United States and has 51-200 employees.

Employees by Department

Departments

Number of employees

Engineering & Technical

11

Marketing

2

C-Suite

2

Operations

2

Sales

1

Human Resources

1

Intuition Machines CEO

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Eli-Shaoul KhedouriChief Executive Officer
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Key Employees of Intuition Machines

  • UK
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    Unmesh Kurup

    Director, Machine Learning (Reporting To The & Gen...

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Intuition Machines Global Presence

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Europe11-50
South America11-50
North America1-10
Africa1-10
Asia1-10

Index of contact profiles from Intuition Machines

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Contact Name
Contact Info
Job Title
HQ Location
12

Former Employees at Intuition Machines

Explore people who held key positions, contributed to Intuition Machines's success, and advanced their careers.

People from Similar Companies in the Business Services Industry Located in California, United States

Frequently Asked Questions Regarding Intuition Machines Employees

How many employees does Intuition Machines have?
Intuition Machines has 51-200 employees
Who is the CEO of Intuition Machines?
Intuition Machines’s CEO is Eli-Shaoul Khedouri
Who are Intuition Machines key employees?
Some of Intuition Machines key employees are Unmesh Kurup
Where is Intuition Machines located?
Intuition Machines’s headquarters are located at 350 Alabama St Apt 10, San Francisco, California, 94110, United States
How do I contact Intuition Machines?
Intuition Machines Contact Info: Website: www.imachines.com
What does Intuition Machines do?

Intuition Machines has decades of software and ML expertise. The company builds and operate massively scalable systems to tackle some of today's hardest problems. The company come from companies like Apple, Google, and Amazon, institutions like Stanford and MIT, and have helped build some of the most widely used products in the world. CEO. Recogniz... ed leader in AI. Has applied machine intelligence at scale to a wide variety of business problems over the past decades. PhD in Computational Biology, Stanford. Working with neural networks since 1999. Focus on applied ML and deep learning at scale. Machine learning and computer vision at Apple and Anthropics. PhD in signal/image processing, University of Edinburgh. M.Eng, Cambridge.Read More

Is Intuition Machines a public company?
Intuition Machines is private company therefore does not currently have an official ticker symbol
See more information about Intuition Machines Employees

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